MS in Data Analytics | Online | Under $10,000

Alvernia Master of Science in Data Analytics aims to equip students with the essential skills in critical-thinking and technical proficiency for careers in data analytics. Students will be enabled to address intricate challenges and make data-informed decisions.  By prioritizing Alvernia’s commitment to community engagement and ethical leadership, our graduates are prepared to utilize data-driven insights responsibly and ethically to create positive impacts within their organizations and society at large.


The Master of Science in Data Analytics program will provide a flexible, accessible and affordable program that equips graduates with advanced skills to effectively navigate the complexities of data analysis and make informed decisions that meet the demands of modern businesses and operations. As an online student, you'll have access to an array of resources including our , online library and Office of Career Development.
 

Estimated Program Length2 years
Credit Hours30
Course Length7 weeks
Transfer Credits AcceptedUp to 6
Cost per Credit$315

 

In This Section
Master of Science in Data Analytics (Online)
Online Learners
Program Overview
There are three entry points into the program:

• Fall (August)
• Spring (January)
• Summer (May)

Two 7-week courses are completed each semester. Students complete one course at a time.

 

Career Outlook


Alvernia's M.S. in Data Analytics is tailored to prepare individuals for these sought-after careers:

  • Data Analyst
  • Data Scientist
  • Business Intelligence Analyst
  • Market Research Analyst
  • Operations Research Analyst
  • Financial Analyst


According to the U.S. Bureau of Labor Statistics, various roles such as financial analyst, with an average salary of $101,000, market research analyst with an average salary of $71,500, and positions in big data and machine learning, are in high demand. Businesses, both large and small, are actively seeking professionals versed in data analysis and entrepreneurship, capable of leveraging an interdisciplinary approach to unlock the potential of data as a predictive and strategic asset.

Experiential Learning
  • Students will conduct a capstone project aimed at analyzing real-world data within their own workplace. This project will apply and reinforce concepts learned throughout the program in a unique and personal context.
  • Students will analyze real-world datasets using various in-demand programming languages such as Python and R.
  • Students will use Tableau, one of the leading visualization software programs for data analytics.
Admissions Requirements


Along with your completed application accompanied by $50 non-refundable application fee, you’ll need to provide a few supporting materials. 

  • Complete your online graduate application.
  • Order your official transcript(s). Request the college or university send transcript(s) to gradandadult@alvernia.edu.
  • Request two professional or academic letters of recommendation.
  • Submit a Personal Statement reflecting on your goals for the program.
  • Submit your Professional Resume.
Financing Your Education


There are options to assist in financing your education and making the tuition affordable. Visit our Student Financial Services page for a detailed overview of the process, including a link to complete the FAFSA application, as well as more information about tuition, the tuition payment plan and the tuition deferment program we offer. Alvernia’s Title IV code for the FAFSA is 003233. The Office of Student Financial Services is available to help with any questions you may have. Call 610-796-8201 or email sfs@alvernia.edu.

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Accreditation


Alvernia is an accredited institution and a member of the (MSCHE). MSCHE is an institutional accrediting agency recognized by the U.S. Secretary of Education and the Council for Higher Education Accreditation.


Get To Know Your Faculty

For more information about Alvernia’s Master of Science in Data Analytics, contact the Graduate Admissions Office at 610-796-5187 or gradandadult@alvernia.edu. Or reach out directly to Michael Durant at michael.durant@alvernia.edu.